Question from a non-dev. How are you triggering workflows automatically and deploying them to non-technical teams? I built a workflow using the file structure that analyzes our sales call transcripts, extracts prospect pain points, builds a marketing plan from our internal playbooks, and drafts a Gamma presentation. The end result is exactly what my team needs. Now I want to take it further and trigger this automatically based on a CRM event (e.g., prospect moves to a specific pipeline stage) so the sales rep never has to interact with Claude directly. How are you all deploying your workflows to teams where not everyone is technical? Curious what the setup looks like in practice.

From a brand new community to top 100 in under 10 Days and this is all possible because of you It just goes to show when you get like minded people, bring in value like no one else and actually TALK to your community instead of automating it you can grow and build anything, If this is what we can do in a week lets see what we can do in a year together! Thank you so much everyone

Alright, I need to run something by you all. Jake and I have been talking about building something bigger. Not just more content. Something structured. Something with real accountability. Something for anyone who wants to actually build with AI, whether you joined this community yesterday or you've been here from the start. Here's what we're considering: The Lyceum — the original Lyceum was started in ancient Greece and known as the first school of Aristotle. Ours is a 12-week program with live instruction from Jake and other AI instructors from Eduba. Small cohorts. Real projects. You'd be building something from week one, not just watching tutorials. We're thinking three different tracks: - Technical — for developers, engineers, people building tools and systems - Business — for ops people, managers, founders, consultants who need to direct AI work without necessarily writing code - Creator — for content creators, marketers, educators, solo operators building their own production systems Same core methodology across all three. Different emphasis based on what you're actually trying to do. And here's where it gets interesting. We're thinking about making it a competition. A grand champion who gets a $100K build from Eduba. First, second, third place for each cohort. Demo day at the end where people present what they built. We'd also be issuing Eduba's first-ever certification. Something backed by the same methodology we've used to train Fortune 500 teams. This is still in the planning phase. We haven't finalized everything yet. But before we lock it in, I want to hear from you. Does this sound like something you'd actually want? Drop a comment. Tell me what excites you. Tell me what concerns you. Ask questions. If there's something you'd want to see included, let me know. More details coming soon! Eduba Case Studies: https://services.eduba.io/#cases

For those of you who are in academia and would like to cite any of my research. I just pushed my ICM paper and had it submitted to preprint. You'll notice that the working title is called ICM but I refer to the workspaces MWP, I am pushing an update right now removing all mention of MWP but Model workspace protocol was the original name I had called it. However I think Interpretable Context Methodology makes more sense for what is actually happening. Enjoy! https://arxiv.org/abs/2603.16021

Quick ask: if you're not already connected Jake and I on LinkedIn, send us a request. Most of you found us through the folder videos or the MWP content. What you might not know is where all of it comes from. Eduba is our AI consulting and training firm: - Trained 600+ employees at Fortune 500 companies - Delivered executive workshops for KPMG UK - Trained IAG's innovation team (parent company of British Airways, Iberia, and Aer Lingus) - Built a multi-agent compliance system for a defense contractor that cut 160 hours of manual document processing down to under 5 minutes - Published peer-reviewed research on psychometric evaluation of AI models That's the work that funds this community and the source of what we teach here. The frameworks, the architecture thinking, the stuff that actually works at scale. We're not figuring it out as we go. We're bringing it back from the field. We're growing our presence on LinkedIn and want you in the network. Jake Van Clief (CEO): https://www.linkedin.com/in/jake-van-clief Matt Creamer (CRO): www.linkedin.com/in/matt-creamer-ai See you over there!